all AI news
3D Segmentation Guided Style-based Generative Adversarial Networks for PET Synthesis. (arXiv:2205.08887v1 [eess.IV])
May 19, 2022, 1:10 a.m. | Yang Zhou, Zhiwen Yang, Hui Zhang, Eric I-Chao Chang, Yubo Fan, Yan Xu
cs.CV updates on arXiv.org arxiv.org
Potential radioactive hazards in full-dose positron emission tomography (PET)
imaging remain a concern, whereas the quality of low-dose images is never
desirable for clinical use. So it is of great interest to translate low-dose
PET images into full-dose. Previous studies based on deep learning methods
usually directly extract hierarchical features for reconstruction. We notice
that the importance of each feature is different and they should be weighted
dissimilarly so that tiny information can be captured by the neural network.
Furthermore, …
3d arxiv generative adversarial networks networks segmentation
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Senior ML Researcher - 3D Geometry Processing | 3D Shape Generation | 3D Mesh Data
@ Promaton | Europe
Principal Data Engineer
@ RS21 | Remote
SQL/Power BI Developer
@ ICF | Virginia Remote Office (VA99)
Senior Machine Learning Engineer (Canada Remote)
@ Fullscript | Ottawa, ON
Software Engineer - MLOps.
@ Renesas Electronics | Toyosu, Japan
Junior Data Scientist / Artificial Intelligence consultant
@ Deloitte | Luxembourg, LU